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ORCIDChris Develder
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Publications
- 2024
[j56]Yiwei Jiang
, Maarten De Raedt, Johannes Deleu, Thomas Demeester, Chris Develder:
Few-shot out-of-scope intent classification: analyzing the robustness of prompt-based learning. Appl. Intell. 54(2): 1474-1496 (2024)- [j55]Maarten De Raedt, Fréderic Godin, Chris Develder, Thomas Demeester:
Revisiting clustering for efficient unsupervised dialogue structure induction. Appl. Intell. 54(7): 5278-5305 (2024) - [j54]Semere Kiros Bitew, Amir Hadifar, Lucas Sterckx, Johannes Deleu, Chris Develder, Thomas Demeester:
Learning to Reuse Distractors to Support Multiple-Choice Question Generation in Education. IEEE Trans. Learn. Technol. 17: 375-390 (2024) - [i52]Karel D'Oosterlinck, Omar Khattab, François Remy, Thomas Demeester, Chris Develder, Christopher Potts:
In-Context Learning for Extreme Multi-Label Classification. CoRR abs/2401.12178 (2024) - 2023
- [j53]Amir Hadifar, Semere Kiros Bitew, Johannes Deleu, Chris Develder, Thomas Demeester:
EduQG: A Multi-Format Multiple-Choice Dataset for the Educational Domain. IEEE Access 11: 20885-20896 (2023) - [j52]Yiwei Jiang, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder:
CookDial: a dataset for task-oriented dialogs grounded in procedural documents. Appl. Intell. 53(4): 4748-4766 (2023) - [c99]Semere Kiros Bitew, Johannes Deleu, A. Seza Dogruöz, Chris Develder, Thomas Demeester:
Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning. BEA@ACL 2023: 598-609 - [c98]Amir Hadifar, Semere Kiros Bitew, Johannes Deleu, Véronique Hoste, Chris Develder, Thomas Demeester:
Diverse Content Selection for Educational Question Generation. EACL (Student Research Workshop) 2023: 123-133 - [c96]Karel D'Oosterlinck, François Remy, Johannes Deleu, Thomas Demeester, Chris Develder, Klim Zaporojets, Aneiss Ghodsi, Simon Ellershaw, Jack Collins, Christopher Potts:
BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance. EMNLP (Findings) 2023: 13425-13454 - [c95]Jens-Joris Decorte, Jeroen Van Hautte, Johannes Deleu, Chris Develder, Thomas Demeester:
Career Path Prediction using Resume Representation Learning and Skill-based Matching. HR@RecSys 2023 - [i47]Klim Zaporojets, Lucie-Aimée Kaffee, Johannes Deleu, Thomas Demeester, Chris Develder, Isabelle Augenstein:
TempEL: Linking Dynamically Evolving and Newly Emerging Entities. CoRR abs/2302.02500 (2023) - [i46]Karel D'Oosterlinck, François Remy, Johannes Deleu, Thomas Demeester, Chris Develder, Klim Zaporojets, Aneiss Ghodsi, Simon Ellershaw, Jack Collins, Christopher Potts:
BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance. CoRR abs/2305.13395 (2023) - [i45]Maarten De Raedt, Fréderic Godin, Thomas Demeester, Chris Develder:
IDAS: Intent Discovery with Abstractive Summarization. CoRR abs/2305.19783 (2023) - [i44]Semere Kiros Bitew, Johannes Deleu, A. Seza Dogruöz, Chris Develder, Thomas Demeester:
Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning. CoRR abs/2306.01584 (2023) - [i43]Jens-Joris Decorte, Severine Verlinden, Jeroen Van Hautte, Johannes Deleu, Chris Develder, Thomas Demeester:
Extreme Multi-Label Skill Extraction Training using Large Language Models. CoRR abs/2307.10778 (2023) - [i42]Semere Kiros Bitew, Johannes Deleu, Chris Develder, Thomas Demeester:
Distractor generation for multiple-choice questions with predictive prompting and large language models. CoRR abs/2307.16338 (2023) - [i41]Karel D'Oosterlinck, Semere Kiros Bitew, Brandon Papineau, Christopher Potts, Thomas Demeester, Chris Develder:
CAW-coref: Conjunction-Aware Word-level Coreference Resolution. CoRR abs/2310.06165 (2023) - [i40]Jens-Joris Decorte, Jeroen Van Hautte, Johannes Deleu, Chris Develder, Thomas Demeester:
Career Path Prediction using Resume Representation Learning and Skill-based Matching. CoRR abs/2310.15636 (2023) - [i36]Maarten De Raedt, Semere Kiros Bitew, Fréderic Godin, Thomas Demeester, Chris Develder:
Zero-Shot Cross-Lingual Sentiment Classification under Distribution Shift: an Exploratory Study. CoRR abs/2311.06549 (2023) - [i35]Karel D'Oosterlinck, Thomas Demeester, Chris Develder, Christopher Potts:
Flexible Model Interpretability through Natural Language Model Editing. CoRR abs/2311.10905 (2023) - 2022
- [c92]Klim Zaporojets, Johannes Deleu, Yiwei Jiang, Thomas Demeester, Chris Develder:
Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolution. ACL (2) 2022: 778-784 - [c91]Yiwei Jiang, Amir Hadifar, Johannes Deleu, Thomas Demeester, Chris Develder:
UGent-T2K at the 2nd DialDoc Shared Task: A Retrieval-Focused Dialog System Grounded in Multiple Documents. DialDoc@ACL 2022: 115-122 - [c90]Maarten De Raedt, Fréderic Godin, Chris Develder, Thomas Demeester:
Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals. EMNLP 2022: 11386-11400 - [c89]Jens-Joris Decorte, Jeroen Van Hautte, Johannes Deleu, Chris Develder, Thomas Demeester:
Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction. HR@RecSys 2022 - [c87]Klim Zaporojets, Lucie-Aimée Kaffee, Johannes Deleu, Thomas Demeester, Chris Develder, Isabelle Augenstein:
TempEL: Linking Dynamically Evolving and Newly Emerging Entities. NeurIPS 2022 - [d1]Semere Kiros Bitew, Amir Hadifar, Lucas Sterckx, Johannes Deleu, Chris Develder, Thomas Demeester:
Distractor Retrieval Dataset. IEEE DataPort, 2022
- [i28]Yiwei Jiang, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder:
CookDial: A dataset for task-oriented dialogs grounded in procedural documents. CoRR abs/2206.08723 (2022) - [i27]Jens-Joris Decorte, Jeroen Van Hautte, Johannes Deleu, Chris Develder, Thomas Demeester:
Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction. CoRR abs/2209.05987 (2022) - [i26]Amir Hadifar, Semere Kiros Bitew, Johannes Deleu, Chris Develder, Thomas Demeester:
EduQG: A Multi-format Multiple Choice Dataset for the Educational Domain. CoRR abs/2210.06104 (2022) - [i25]Maarten De Raedt, Fréderic Godin, Chris Develder, Thomas Demeester:
Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals. CoRR abs/2210.11805 (2022) - [i24]Semere Kiros Bitew, Amir Hadifar, Lucas Sterckx, Johannes Deleu, Chris Develder, Thomas Demeester:
Learning to Reuse Distractors to support Multiple Choice Question Generation in Education. CoRR abs/2210.13964 (2022) - 2021
- [j50]Klim Zaporojets, Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Solving arithmetic word problems by scoring equations with recursive neural networks. Expert Syst. Appl. 174: 114704 (2021) - [j49]Klim Zaporojets, Johannes Deleu, Chris Develder, Thomas Demeester:
DWIE: An entity-centric dataset for multi-task document-level information extraction. Inf. Process. Manag. 58(4): 102563 (2021) - [j48]Amir Hadifar, Johannes Deleu, Chris Develder, Thomas Demeester:
Exploration of block-wise dynamic sparseness. Pattern Recognit. Lett. 151: 187-192 (2021) - [c86]Severine Verlinden, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder:
Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution. ACL/IJCNLP (Findings) 2021: 1952-1957 - [c85]Maarten De Raedt, Fréderic Godin, Pieter Buteneers, Chris Develder, Thomas Demeester:
A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders. EMNLP (1) 2021: 10108-10114 - [c84]Amir Hadifar, Sofie Labat, Véronique Hoste, Chris Develder, Thomas Demeester:
A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks. NAACL-HLT 2021: 220-225 - [i22]Maarten De Raedt, Fréderic Godin, Pieter Buteneers, Chris Develder, Thomas Demeester:
A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders. CoRR abs/2104.03630 (2021) - [i21]Amir Hadifar, Sofie Labat, Véronique Hoste, Chris Develder, Thomas Demeester:
A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks. CoRR abs/2104.07944 (2021) - [i20]Severine Verlinden, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder:
Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution. CoRR abs/2107.02286 (2021) - [i19]Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder:
Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolution. CoRR abs/2108.13530 (2021) - [i18]Jens-Joris Decorte, Jeroen Van Hautte, Thomas Demeester, Chris Develder:
JobBERT: Understanding Job Titles through Skills. CoRR abs/2109.09605 (2021) - 2020
- [c81]Yiwei Jiang, Klim Zaporojets, Johannes Deleu, Thomas Demeester, Chris Develder:
Recipe Instruction Semantics Corpus (RISeC): Resolving Semantic Structure and Zero Anaphora in Recipes. AACL/IJCNLP 2020: 821-826 - [i16]Amir Hadifar, Johannes Deleu, Chris Develder, Thomas Demeester:
Block-wise Dynamic Sparseness. CoRR abs/2001.04686 (2020) - [i15]Klim Zaporojets, Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Solving Math Word Problems by Scoring Equations with Recursive Neural Networks. CoRR abs/2009.05639 (2020) - [i14]Klim Zaporojets, Johannes Deleu, Chris Develder, Thomas Demeester:
DWIE: an entity-centric dataset for multi-task document-level information extraction. CoRR abs/2009.12626 (2020) - 2019
- [c80]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Adversarial Perturbations for Joint Entity and Relation Extraction. BNAIC/BENELEARN 2019 - [c78]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Sub-event detection from twitter streams as a sequence labeling problem. NAACL-HLT (1) 2019: 745-750 - [c77]Amir Hadifar, Lucas Sterckx, Thomas Demeester, Chris Develder:
A Self-Training Approach for Short Text Clustering. RepL4NLP@ACL 2019: 194-199 - [i13]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Sub-event detection from Twitter streams as a sequence labeling problem. CoRR abs/1903.05396 (2019) - 2018
- [j46]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
An attentive neural architecture for joint segmentation and parsing and its application to real estate ads. Expert Syst. Appl. 102: 100-112 (2018) - [j45]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Joint entity recognition and relation extraction as a multi-head selection problem. Expert Syst. Appl. 114: 34-45 (2018) - [j44]Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder:
Creation and evaluation of large keyphrase extraction collections with multiple opinions. Lang. Resour. Evaluation 52(2): 503-532 (2018) - [c75]Klim Zaporojets, Lucas Sterckx, Johannes Deleu, Thomas Demeester, Chris Develder:
Predicting Psychological Health from Childhood Essays. The UGent-IDLab CLPsych 2018 Shared Task System. CLPsych@NAACL-HTL 2018: 119-125 - [c74]Thomas Demeester, Johannes Deleu, Fréderic Godin, Chris Develder:
Predefined Sparseness in Recurrent Sequence Models. CoNLL 2018: 324-333 - [c71]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Adversarial training for multi-context joint entity and relation extraction. EMNLP 2018: 2830-2836 - [i12]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Joint entity recognition and relation extraction as a multi-head selection problem. CoRR abs/1804.07847 (2018) - [i11]Lucas Sterckx, Johannes Deleu, Chris Develder, Thomas Demeester:
Prior Attention for Style-aware Sequence-to-Sequence Models. CoRR abs/1806.09439 (2018) - [i10]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Adversarial training for multi-context joint entity and relation extraction. CoRR abs/1808.06876 (2018) - [i9]Thomas Demeester, Johannes Deleu, Fréderic Godin, Chris Develder:
Predefined Sparseness in Recurrent Sequence Models. CoRR abs/1808.08720 (2018) - 2017
- [c69]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Reconstructing the house from the ad: Structured prediction on real estate classifieds. EACL (2) 2017: 274-279 - [c68]Lucas Sterckx, Jason Naradowsky, Bill Byrne, Thomas Demeester, Chris Develder:
Break it Down for Me: A Study in Automated Lyric Annotation. EMNLP 2017: 2074-2080 - [i7]Lucas Sterckx, Jason Naradowsky, Bill Byrne, Thomas Demeester, Chris Develder:
Break it Down for Me: A Study in Automated Lyric Annotation. CoRR abs/1708.03492 (2017) - [i6]Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
An attentive neural architecture for joint segmentation and parsing and its application to real estate ads. CoRR abs/1709.09590 (2017) - 2016
- [j39]Thomas Demeester, Robin Aly, Djoerd Hiemstra, Dong Nguyen, Chris Develder:
Predicting relevance based on assessor disagreement: analysis and practical applications for search evaluation. Inf. Retr. J. 19(3): 284-312 (2016) - [j38]Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder:
Knowledge base population using semantic label propagation. Knowl. Based Syst. 108: 79-91 (2016) - [c65]Lucas Sterckx, Cornelia Caragea, Thomas Demeester, Chris Develder:
Supervised Keyphrase Extraction as Positive Unlabeled Learning. EMNLP 2016: 1924-1929 - 2015
- [c53]Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder:
Topical Word Importance for Fast Keyphrase Extraction. WWW (Companion Volume) 2015: 121-122 - [c52]Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder:
When Topic Models Disagree: Keyphrase Extraction with Multiple Topic Models. WWW (Companion Volume) 2015: 123-124 - [i5]Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder:
Ghent University - IBCN Participation in the TAC KBP 2015 Cold Start Slot Filling task. TAC 2015 - [i4]Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder:
Knowledge Base Population using Semantic Label Propagation. CoRR abs/1511.06219 (2015) - [i3]Thomas Demeester, Robin Aly, Djoerd Hiemstra, Dong Nguyen, Chris Develder:
Predicting Relevance based on Assessor Disagreement: Analysis and Practical Applications for Search Evaluation. CoRR abs/1511.07237 (2015) - 2014
- [c51]Lucas Sterckx, Thomas Demeester, Johannes Deleu, Laurent Mertens, Chris Develder:
Assessing Quality of Unsupervised Topics in Song Lyrics. ECIR 2014: 547-552 - [c50]Laurent Mertens, Thomas Demeester, Johannes Deleu, Matthias Feys, Chris Develder:
Entity Linking: Test Collections Revisited. FIRE 2014: 134-137 - [c49]Matthias Feys, Thomas Demeester, Blaz Fortuna, Johannes Deleu, Chris Develder:
On the robustness of event detection evaluation: a case study. FIRE 2014: 138-141 - [c44]Thomas Demeester, Robin Aly, Djoerd Hiemstra, Dong Nguyen, Dolf Trieschnigg, Chris Develder:
Exploiting user disagreement for web search evaluation: an experimental approach. WSDM 2014: 33-42 - [c43]Steven Van Canneyt, Matthias Feys, Steven Schockaert, Thomas Demeester, Chris Develder, Bart Dhoedt:
Detecting Newsworthy Topics in Twitter. SNOW-DC@WWW 2014: 25-32 - 2013
- [c42]Thomas Demeester, Dong Nguyen, Dolf Trieschnigg, Chris Develder, Djoerd Hiemstra:
What Snippets Say About Pages. DIR 2013: 34-35 - [c41]Thomas Demeester, Dong Nguyen, Dolf Trieschnigg, Chris Develder, Djoerd Hiemstra:
Snippet-Based Relevance Predictions for Federated Web Search. ECIR 2013: 697-700 - [i2]Laurent Mertens, Thomas Demeester, Johannes Deleu, Chris Develder:
UGent Participation in the TAC 2013 Entity-Linking Task. TAC 2013 - 2012
- [c39]Thomas Demeester, Dong Nguyen, Dolf Trieschnigg, Chris Develder, Djoerd Hiemstra:
What Snippets Say about Pages in Federated Web Search. AIRS 2012: 250-261 - [c29]Thong Hoang Van Duc, Thomas Demeester, Johannes Deleu, Piet Demeester, Chris Develder:
UGent Participation in the Microblog Track 2012. TREC 2012 - [i1]Laurent Mertens, Thomas Demeester, Johannes Deleu, Chris Develder, Piet Demeester:
UGent Participation in the TAC 2012 Entity-Linking Task. TAC 2012
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last updated on 2024-08-26 22:17 CEST by the dblp team
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